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Cultural ideals in the entrepreneurship industry

As both public and private organizations are spending resources on fostering entrepreneurship, we have witnessed the emergence of an entrepreneurship industry. Using the entrepreneurship industry in Sweden as a case and example, this chapter provides an explorative analysis the emergence, manifestations and consequences of cultural ideals within this industry. The analysis reveals how the entrepre

A multi-level resource circularity index based in the European Union’s circular economy monitoring framework

Purpose: to propose two enhancements for the European Union’s Circular Material Use rate (CMU): inclusion of Preparation for Reuse (PfR) flows and enhanced reproducibility across lower levels of analysis. Methods: PfR flows are added to the material flow Sankey Diagram. The Local Circularity Rate (LCR) is based in the CMU and is broke down in three waste-related ratios: recovered-to-treated (RCV-t

ForMAX – a beamline for multiscale and multimodal structural characterization of hierarchical materials

The ForMAX beamline at the MAX IV Laboratory provides multiscale and multimodal structural characterization of hierarchical materials in the nanometre to millimetre range by combining small- and wide-angle X-ray scattering with full-field microtomography. The modular design of the beamline is optimized for easy switching between different experimental modalities. The beamline has a special focus o

Characteristics of adolescents with poor mental health after bariatric surgery

BACKGROUND: About 20% of adolescents experience substantial mental health problems after bariatric surgery.OBJECTIVES: The aim of this study was to explore differences between adolescents with poor mental health (PMH) 2 years after surgery and those with average/good mental health.SETTING: Three university hospitals in Sweden.METHODS: Mental health and health-related quality of life were assessed

Evaluating automated support for requirements similarity analysis in market-driven development

In market-driven software development, there is a considerable risk for congestion in the requirements engineering process, as the demand of short time-to-market is combined with a rapid arrival of new requirements from many different sources. Automated analysis of the continuous flow of incoming requirements provides an opportunity to increase the efficiency of the requirements engineering proces